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| File Name: | Art generation using artificial intelligence |
| Content Source: | https://www.udemy.com/course/art-generation-using-artificial-intelligence/ |
| Genre / Category: | Drawing & Painting |
| File Size : | 3.1GB |
| Publisher: | udemy |
| Updated and Published: | April 30, 2023 |
Section 1: Introduction to AI Art Generation
- What is AI art?
- A brief history of AI art
- Different types of AI art (e.g. style transfer, GANs)
- Overview of the tools and software used in AI art generation
Section 2: Understanding Machine Learning
- What is machine learning?
- Supervised vs. unsupervised learning
- Neural networks and deep learning
- Data preprocessing techniques (e.g. normalization, data augmentation)
Section 3: Collecting and Preparing Data
- The importance of data in AI art generation
- Tips for collecting and preparing data for use in AI models
- Data cleaning techniques
- Data labeling strategies
- Overview of public datasets for AI art generation
Section 4: Training AI Models
- Choosing the right architecture for your AI model
- Setting up your training environment (e.g. using cloud-based services)
- Strategies for monitoring and improving model performance
- Techniques for fine-tuning your AI model
Section 5: Generating Art
- Techniques for selecting and manipulating images and videos for use in AI art generation
- Using pre-trained models for generating art
- Fine-tuning model parameters for different artistic effects
- Selecting output formats (e.g. digital images, video)
Section 6: Exploring the Future of AI Art
- Emerging trends in AI art generation (e.g. GANs, style transfer)
- Possibilities for future developments in the field
- Potential applications for AI art in different industries
Section 7: Ethical Considerations
- Intellectual property considerations for AI-generated art
- Addressing bias and discrimination in AI art generation
- The role of human input in the creative process
- Other ethical considerations in AI art generation
- Each section could include a combination of video lectures, written content, interactive exercises, and hands-on projects to help students learn and apply the material.
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